Advisory Board and Editors Scientific Computing & Simulation
Lydia E Kavraki
Lydia Kavraki received her B.A. in Computer Science from the University of Crete in Greece and her Ph.D. in Computer Science from Stanford University. Her research contributions are in physical algorithms and their applications in robotics as well as in computational structural biology and biomedciine. Kavraki is the recipient of the ACM Grace Murray Hopper Award; a Fellow of ACM, IEEE, AAAS, AAAI, and AIMBE; and a member of the Institute of Medicine of the National Academies.
Bilal Khalid
Dr. Bilal Khalid received a Ph.D. in Industrial Business Administration from KMITL Business School, Bangkok, and a master’s in International Business Management from Stamford International University, Bangkok. Dr. Khalid's research interests include leadership and negotiations, digital transformations, gamification, eLearning, blockchain, big data, decarbonization, green entrepreneurial orientation, corporate social responsibility, sustainable management practices, and management of information technology. Dr. Bilal Khalid also serves as an academic editor at Journal of Computer Networks and Communication, Education Research International, and a reviewer for multiple international journals.
Haseeb A. Khan
Distinguished Professor of Biochemistry at College of Science, King Saud University, Riyadh, Saudi Arabia. Group Leader of Analytical and Molecular Bioscience Research Group and a Chair Professor at Research Chair for Biomedical Applications of Nanomaterials, King Saud University. PhD from Aligarh Muslim University, Aligarh, India and received scientific trainings in USA, UK, Denmark and Finland. Fellow of the Royal College of Pathologists (FRCPath) and the Royal Society of Chemistry (FRSC), UK. Authored more than 300 publications including 2 books and 20 book chapters. Recipient of Microsoft eScience Award. Listed in Top-2% World Ranking of Scientists. Research interests are clinical biochemistry, analytical chemistry, environmental chemistry, nanobiotechnology, molecular conservation, bioinformatics, pharmacology, and toxicology.
Valsaraj KT
Former Vice President for Research & Economic Development, currently the Charles and Hilda Roddey Distinguished Professor in Chemical Engineering and Ike East Professor in Chemical Engineering, Louisiana State University. Elected Fellow of the American Association for the Advancement of Science (AAAS), the American Institute of Chemical Engineers (AIChE) and the National Academy of Inventors (NAI). Recipient of AIChE/ACS Charles E Coates award in 2012. Research area is in environmental chemical engineering. He has broad research experience in wastewater treatment, atmospheric chemistry and, modeling the fate and transport of contaminants in all three environmental media (air, water and soil/sediment). Present research is concerned with the transformations of pollutants on atmospheric aerosols (fog, rain, ice and snow), mercury sequestration in sediments and, studies on chemical dispersant design for sub-sea oil/gas spill. He is the author of 1 widely accepted textbook (with four editions), 200 peer-reviewed journal articles, 27 book chapters and 2 U.S. patents. He has made over 250 national and international presentations and 28 invited seminars and plenary lectures on his research. His research has been supported by the NSF, EPA, DOE, DOD, USGS and several private industries.
Marco Lapegna
In 1991 Marco Lapegna received his PhD in Applied Mathematics and Computer Science at the University of Naples Federico II (Italy), and since 2001 is a professor of Computer Science at the Department of Mathematics and Applications of the same university.
His main research interests concern methods, algorithms, and software for parallel and distributed computing environments applied to computational mathematics and machine learning, taking into account the influence of the technological evolution on them (cluster computing, multicore computing, grid computing, cloud, and edge computing). He has an active academic life with several institutional coordination duties.
Xing Li
Dr. Xing Li is an Assistant Professor and Associate Consultant in the Division of Biomedical Statistics and Informatics, Department of Health Science Research at Mayo Clinic - voted the best hospital by U.S. News & World Report. Dr. Li completed his PhD in Bioinformatics from The University of Michigan at Ann Arbor, Michigan, USA. Dr. Li also holds a Masters Degree in Biochemistry and Molecular Biology and Bachelors Degree in Microbiology. Dr. Li’s research interests focus on machine learning, bioinformatics, and statistical data mining in large scale data in biomedical research, such as next generation sequencing data (whole genome sequencing, RNA-seq, microarray data), in the file. He has published more than 20 peer-reviewed papers in reputable journals and book chapters in the fields of Bioinformatics and Biostatistics, cancer research, cardiovascular disease, embryonic stem cell (ESC) and induced pluripotent stem cell (iPSC) research, and human genomics, genetics and development, and Microbiology. Dr. Li’s publications have been highlighted as Journal Cover Stories, Journal Featured Articles, Highlights Section Papers, Must Read by Faculty 1000, and ESC & iPSC News, etc. Dr. Li has been developing data analysis tools, such as RCircle and PCA3d, etc. Dr. Li is also a member of American Association for Cancer Research (AACR), International Society for Computational Biology (ISCB), American Statistics Association (ASA) and American Heart Association (AHA).
Ari Melo Mariano
Ari Melo Mariano is a Data Scientist, Post-Doctorate in Data Science, Post-Doctorate in Scientific Methodology and Quantitative Methods, Doctor in Administration, Master in Administration, and Bachelor in Administration. A specialist in data science, he also has an MBA in European consumer law. He is currently a professor and researcher in production engineering at the University of Brasilia (UNB), Brazil. Professor of the Professional Master of Applied Computing in the Department of Computer Science and Collaborating Professor of 6 doctorate programs in Latin America.
Ari is the Director of DataLab at the Production Engineering Course at the University of Brasilia. As a researcher, he works in data science, behavioral big data, bibliometrics, analysis via structural equation models, and text mining. The most related areas of his research are the acceptance and use of technology, consumer behavior, active methodologies, learning styles, Industry 4.0 and 5.0, smart and shared cities, and interculturality.
Robert H McDonald
Robert H. McDonald is Dean of University Libraries and Professor of Library Administration. He is responsible for leading the Boulder campus library system in fulfilling their mission to inspire learning, research, and discovery by connecting knowledge, information, and people.
His expertise and interests include teaching and learning technologies that enable libraries to better support researchers at all levels, open source software development, scholarly communications, and new model publishing. Robert has also been an active proponent of diversity initiatives in libraries throughout his career and is committed to creating library spaces that are welcoming, diverse and inclusive for all of our Library users.
Gang Mei
Dr. Gang Mei is an Associate Professor in Scientific Computing in Engineering at China University of Geosciences (Beijing). He received his Ph.D degree in 2014 from the University of Freiburg in Germany. His main research interests are in the areas of Numerical Simulation and Computational Modeling, GPU Computing, Machine Learning, Data Mining, and Network Science and Applications. He is the IEEE Member, and has served as an Academic Editor for the journals IEEE Access, and PeerJ Computer Science.
Christopher J Mungall
I am a Computer Research Scientist in the Environmental Genomics and Systems Biology division at Lawrence Berkeley Laboratory. My work focuses on computational methods for representing and interpreting complex biological data, in particular through the development and application of knowledge representation structures such as ontologies.
Kok Yew Ng
I received the BEng (Hons) in Electrical and Computer Systems Engineering and the Ph.D. in Fault Diagnosis and Control Systems from Monash University in 2006 and 2009, respectively. I am currently a Reader in Mechatronics Engineering and Control at the School of Engineering, Ulster University, UK, and I am attached to the Engineering Research Institute.
My research interests include fault diagnosis, mathematical modelling, digital twin, and data analytics for anomaly detection and classification.
In 2014–2015, I was a postdoctoral researcher at the Division of Vehicular Systems, Linköping University, Sweden, where I worked with Volvo Car Corporation (VCC) on advanced fault diagnosis schemes in vehicular engines using model-based and data-driven methods. For this research, I was instrumental in developing a Digital Twin/Simulation Testbed on the MATLAB/Simulink platform for realistic simulation and testing of residuals generation and fault diagnosis methods. This research work was published in the IEEE Control Systems Magazine and the Digital Twin/Simulation Testbed can be downloaded via the main hosting site or its mirror at Linköping University.
Throughout my career, I have secured more than £6.5 million in research grants from various funders such as the Engineering and Physical Sciences Research Council (EPSRC), UK Research and Innovation (UKRI), Global Challenges Research Fund (GCRF), and the Northern Ireland Department for the Economy in the UK; the Fundamental Research Grant Scheme (FRGS), Exploratory Research Grant Scheme (ERGS), and EScienceFund from the Ministry of Higher Education in Malaysia; and industries such as Volvo Car Corporation in Gothenburg, Sweden.
Overall, I have successfully supervised no less than 2 postdoctorals, 8 PhD, and 3 Master’s by Research candidates.
I am also currently attached to the Digital Catapult as an awardee of the EPSRC Innovation Launchpad Network+ (ILN+) Researcher in Residence Scheme. This research project aims to develop an energy mapping Digital Twin technology that contributes towards net zero in wind turbine energy. This technology encompasses the entire energy lifecycle, from mining through storage to utilisation in Northern Ireland (NI). This project also involves collaboration with the Offshore Renewable Energy Catapult.
Other highlights include being a co-investigator in SAFEWATER, a £5 million project funded by UKRI-GCRF, where I led the development and the optimisation of embedded algorithms to control low-cost water disinfection technologies used in the rural areas in South America.
In addition, during the COVID-19 pandemic, I led the Modelling and Forecast Task Force at Ulster where we worked with the Southern Health and Social Care Trust to provide analysis to the Government Specialist Modelling Response Expert Group (SMREG) in Northern Ireland. The main purpose of the project was to validate and inform the SMREG as well as help governing bodies in Northern Ireland to better plan for intervention measures and ultimately flatten the curve. I was also a member of the COVID-19 Task Force set up by the IEEE Region 8 community. In addition, I led a team of researchers and data scientists from Ulster and Queen’s University Belfast to work with the Incident Controller for the State Health Incident Control Centre and Deputy Chief Health Officer of the Department of Health in Western Australia to model the outbreak of COVID-19 on commercial cargo vessels.
I am a Senior Member of the IEEE and I am currently the Vice-Chair of the IEEE Control Systems Society (CSS), UK and Ireland Chapter.
I am the Moderator for the IEEE TechRxiv, the Associate Editor for IEEE Access, Editor for PeerJ Computer Science, and Section Editor for Sage Science Progress.
I am also an Adjunct Senior Research Fellow with Monash University Malaysia where I served as a Lecturer from 2009, and subsequently as Senior Lecturer till 2017.
Binh P. Nguyen
Senior Lecturer in Data Science at the School of Mathematics and Statistics in Victoria University of Wellington (New Zealand). Former Scientist at the Institute of High Performance Computing, A*STAR (Singapore). Former Research Fellow at Duke-NUS Medical School and National University of Singapore (Singapore).